Search Results for author:
Found 4 papers, 2 papers with code
Structure-Preserving Super Resolution with Gradient Guidance
In this paper, we propose a structure-preserving super resolution method to alleviate the above issue while maintaining the merits of GAN-based methods to generate perceptual-pleasant details.
Ranked #46 on
Image Super-Resolution
on Urban100 - 4x upscaling
SCoDA: Domain Adaptive Shape Completion for Real Scans
Thus, we propose a new task, SCoDA, for the domain adaptation of real scan shape completion from synthetic data.
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation
Few-shot medical image semantic segmentation is of paramount importance in the domain of medical image analysis.
SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation
We further introduce a view-image consistency loss for the discriminator to emphasize the correspondence of the camera parameters and the images.
